Search ga_s2am_ard_3 whole collection

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud pixels. For these ARD products, this value comes from the Fmask algorithm. from:

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud pixels. For these ARD products, this value comes from the Fmask algorithm. to (exclusive):

Time when dataset was created (processed) From

Time when dataset was created (processed) to (exclusive)

The raw CRS string as it appears in metadata (e.g. ‘epsg:32654’) :

One of - final|interim|nrt (near real time):

ID of a dataset type:

Ground sampling distance of the sensor’s best resolution band in metres; represents the size (or spatial resolution) of one pixel. from:

Ground sampling distance of the sensor’s best resolution band in metres; represents the size (or spatial resolution) of one pixel. to (exclusive):

The azimuth angle of the sun at the moment of acquisition, in degree units measured clockwise from due north from:

The azimuth angle of the sun at the moment of acquisition, in degree units measured clockwise from due north to (exclusive):

The elevation angle of the sun at the moment of acquisition, in degree units relative to the horizon. from:

The elevation angle of the sun at the moment of acquisition, in degree units relative to the horizon. to (exclusive):

The proportion (from 0 to 100) of the dataset's valid data area that contains clear land pixels according to the Fmask algorithm from:

The proportion (from 0 to 100) of the dataset's valid data area that contains clear land pixels according to the Fmask algorithm to (exclusive):

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud shadow pixels according to the Fmask algorithm from:

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud shadow pixels according to the Fmask algorithm to (exclusive):

The proportion (from 0 to 100) of the dataset's valid data area that contains clear snow pixels according to the Fmask algorithm from:

The proportion (from 0 to 100) of the dataset's valid data area that contains clear snow pixels according to the Fmask algorithm to (exclusive):

The proportion (from 0 to 100) of the dataset's valid data area that contains clear water pixels according to the Fmask algorithm from:

The proportion (from 0 to 100) of the dataset's valid data area that contains clear water pixels according to the Fmask algorithm to (exclusive):

File format (GeoTiff, NetCDF):

Mean of the absolute values of the x-axis (east-to-west) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Mean of the absolute values of the x-axis (east-to-west) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Mean of the absolute values of the GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Mean of the absolute values of the GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Mean of the absolute values of the y-axis (north-to-south) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Mean of the absolute values of the y-axis (north-to-south) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Absolute value of the x-axis (east-to-west) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Absolute value of the x-axis (east-to-west) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Absolute value of the total GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Absolute value of the total GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Absolute value of the y-axis (north-to-south) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Absolute value of the y-axis (north-to-south) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Circular error probable (90%) of the values of the GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Circular error probable (90%) of the values of the GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Mean of the values of the x-axis (east-to-west) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Mean of the values of the x-axis (east-to-west) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Mean of the values of the GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Mean of the values of the GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Mean of the values of the y-axis (north-to-south) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Mean of the values of the y-axis (north-to-south) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Standard Deviation of the values of the x-axis (east-to-west) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Standard Deviation of the values of the x-axis (east-to-west) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Standard Deviation of the values of the GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Standard Deviation of the values of the GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Standard Deviation of the values of the y-axis (north-to-south) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Standard Deviation of the values of the y-axis (north-to-south) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Mean of the values of the x-axis (east-to-west) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Mean of the values of the x-axis (east-to-west) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Mean of the values of the GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Mean of the values of the GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Mean of the values of the y-axis (north-to-south) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Mean of the values of the y-axis (north-to-south) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Standard Deviation of the values of the x-axis (east-to-west) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Standard Deviation of the values of the x-axis (east-to-west) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Standard Deviation of the values of the GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Standard Deviation of the values of the GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Standard Deviation of the values of the y-axis (north-to-south) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Standard Deviation of the values of the y-axis (north-to-south) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Dataset UUID:

User who indexed the dataset:

When dataset was indexed:

Label:

Latitude range from:

Latitude range to (exclusive):

Longitude range from:

Longitude range to (exclusive):

Full metadata document:

Metadata type name of dataset:

ID of a metadata type:

Spatial reference code from the provider. For Sentinel it is MGRS code. :

The proportion (from 0 to 100) of the dataset's valid data area that contains clear land pixels according to s3cloudless from:

The proportion (from 0 to 100) of the dataset's valid data area that contains clear land pixels according to s3cloudless to (exclusive):

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud land pixels according to s3cloudless from:

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud land pixels according to s3cloudless to (exclusive):

Unique identifier for a datastrip relative to a given Datatake. (e.g. ‘S2A_OPER_MSI_L1C_DS_SGS__20161214T040601_S20161214T005840_N02.04’) :

ESA product URI, with the '.SAFE' ending removed. (e.g. 'S2A_MSIL1C_20220303T000731_N0400_R073_T56LNM_20220303T012845') :

Granule ID according to the ESA naming convention (e.g. ‘S2A_OPER_MSI_L1C_TL_SGS__20161214T040601_A007721_T53KRB_N02.04’) :

Acquisition time range From

Acquisition time range to (exclusive)

Dataset URI:

Add field

First 100 results (query limit)

Time (local)	Label
2016-01-20 11:47:47	ga_s2am_ard_3-2-1_51KVU_2016-01-20_final.stac-item
2016-04-19 11:37:58	ga_s2am_ard_3-2-1_50JPL_2016-04-19_final.stac-item
2016-07-22 11:22:31	ga_s2am_ard_3-2-1_52KBU_2016-07-22_final.stac-item
2016-09-13 11:26:17	ga_s2am_ard_3-2-1_51KYA_2016-09-13_final.stac-item
2016-10-30 11:18:19	ga_s2am_ard_3-2-1_52JBT_2016-10-30_final.stac-item
2016-11-19 11:19:19	ga_s2am_ard_3-2-1_51JUF_2016-11-19_final
2017-01-20 12:02:52	ga_s2am_ard_3-2-1_50JLN_2017-01-20_final
2017-02-13 11:37:46	ga_s2am_ard_3-2-1_51KUS_2017-02-13_final
2017-02-19 12:02:47	ga_s2am_ard_3-2-1_49JGL_2017-02-19_final
2017-02-27 11:22:43	ga_s2am_ard_3-2-1_51KZS_2017-02-27_final
2017-05-03 12:13:46	ga_s2am_ard_3-2-1_50KKA_2017-05-03_final
2017-05-18 11:21:00	ga_s2am_ard_3-2-1_51KYU_2017-05-18_final
2017-11-19 12:13:18	ga_s2am_ard_3-2-1_49JGN_2017-11-19_final
2018-01-06 11:32:02	ga_s2am_ard_3-2-1_51KWB_2018-01-06_final
2018-01-13 11:19:15	ga_s2am_ard_3-2-1_51KXP_2018-01-13_final
2018-01-20 11:11:55	ga_s2am_ard_3-2-1_52KCD_2018-01-20_final
2018-02-02 11:18:14	ga_s2am_ard_3-2-1_52KCC_2018-02-02_final
2018-04-03 11:23:03	ga_s2am_ard_3-2-1_51KWP_2018-04-03_final
2018-04-20 11:15:50	ga_s2am_ard_3-2-1_52JCM_2018-04-20_final
2018-05-23 11:17:08	ga_s2am_ard_3-2-1_51KZQ_2018-05-23_final
2018-08-18 11:12:58	ga_s2am_ard_3-2-1_52KDC_2018-08-18_final
2018-09-13 11:33:05	ga_s2am_ard_3-2-1_51KUS_2018-09-13_final
2018-09-30 11:24:01	ga_s2am_ard_3-2-1_51JXH_2018-09-30_final
2018-10-13 11:32:54	ga_s2am_ard_3-2-1_51HTC_2018-10-13_final
2018-11-05 11:45:30	ga_s2am_ard_3-2-1_50HNH_2018-11-05_final
2018-11-06 11:13:32	ga_s2am_ard_3-2-1_52KCA_2018-11-06_final
2018-11-09 11:23:31	ga_s2am_ard_3-2-1_51KZR_2018-11-09_final
2018-11-29 11:23:26	ga_s2am_ard_3-2-1_52KBA_2018-11-29_final
2018-12-06 11:13:32	ga_s2am_ard_3-2-1_51KZR_2018-12-06_final
2019-02-16 11:56:51	ga_s2am_ard_3-2-1_50HLJ_2019-02-16_final
2019-02-20 11:33:15	ga_s2am_ard_3-2-1_51KXS_2019-02-20_final
2019-03-29 11:23:42	ga_s2am_ard_3-2-1_51KXR_2019-03-29_final
2019-04-04 11:43:59	ga_s2am_ard_3-2-1_51KUQ_2019-04-04_final
2019-04-05 11:13:34	ga_s2am_ard_3-2-1_52KEA_2019-04-05_final
2019-04-28 11:23:53	ga_s2am_ard_3-2-1_52KBV_2019-04-28_final
2019-05-02 11:06:21	ga_s2am_ard_3-2-1_52HDK_2019-05-02_final.stac-item
2019-06-07 11:24:14	ga_s2am_ard_3-2-1_51KXP_2019-06-07_final
2019-07-10 11:33:09	ga_s2am_ard_3-2-1_51KWT_2019-07-10_final
2019-11-01 11:13:36	ga_s2am_ard_3-2-1_52KDA_2019-11-01_final
2019-11-28 11:05:04	ga_s2am_ard_3-2-1_52JDQ_2019-11-28_final
2019-12-14 11:25:05	ga_s2am_ard_3-2-1_51JXK_2019-12-14_final
2019-12-27 11:31:54	ga_s2am_ard_3-2-1_51LWC_2019-12-27_final
2020-02-09 11:12:56	ga_s2am_ard_3-2-1_52KDC_2020-02-09_final
2020-02-09 11:14:59	ga_s2am_ard_3-2-1_52JBQ_2020-02-09_final
2020-03-02 11:53:06	ga_s2am_ard_3-2-1_50KRC_2020-03-02_final
2020-03-10 11:13:00	ga_s2am_ard_3-2-1_52KDC_2020-03-10_final
2020-04-24 12:04:00	ga_s2am_ard_3-2-1_50KKA_2020-04-24_final.stac-item
2020-05-14 12:04:44	ga_s2am_ard_3-2-1_50JLT_2020-05-14_final
2020-05-22 11:24:20	ga_s2am_ard_3-2-1_51KWP_2020-05-22_final
2020-05-26 11:05:25	ga_s2am_ard_3-2-1_52JDP_2020-05-26_final
2020-06-07 11:46:44	ga_s2am_ard_3-2-1_50HNK_2020-06-07_final
2020-06-28 11:14:14	ga_s2am_ard_3-2-1_51KZP_2020-06-28_final
2020-06-30 11:52:25	ga_s2am_ard_3-2-1_50KQG_2020-06-30_final.stac-item
2020-08-02 12:03:45	ga_s2am_ard_3-2-1_50KKB_2020-08-02_final
2020-09-19 11:22:27	ga_s2am_ard_3-2-1_52KBF_2020-09-19_final
2020-09-19 11:22:31	ga_s2am_ard_3-2-1_51KYA_2020-09-19_final
2020-09-26 11:12:58	ga_s2am_ard_3-2-1_52KCD_2020-09-26_final
2020-10-12 11:34:11	ga_s2am_ard_3-2-1_51KXP_2020-10-12_final
2020-11-24 11:46:24	ga_s2am_ard_3-2-1_50JNL_2020-11-24_final
2020-11-28 11:26:59	ga_s2am_ard_3-2-1_51HVC_2020-11-28_final
2020-12-05 11:13:06	ga_s2am_ard_3-2-1_52KCC_2020-12-05_final
2021-01-06 11:55:42	ga_s2am_ard_3-2-1_50JLP_2021-01-06_final
2021-03-10 12:04:42	ga_s2am_ard_3-2-1_50JKT_2021-03-10_final
2021-03-14 11:42:09	ga_s2am_ard_3-2-1_51KWB_2021-03-14_final
2021-04-07 11:23:17	ga_s2am_ard_3-2-1_51KZS_2021-04-07_final
2021-04-09 12:04:09	ga_s2am_ard_3-2-1_49KHQ_2021-04-09_final
2021-04-30 11:32:44	ga_s2am_ard_3-2-1_51KVV_2021-04-30_final
2021-05-10 11:37:00	ga_s2am_ard_3-2-1_51HTC_2021-05-10_final
2021-07-23 11:13:32	ga_s2am_ard_3-2-1_51KZS_2021-07-23_final
2021-07-28 12:04:49	ga_s2am_ard_3-2-1_49JGN_2021-07-28_final
2021-08-08 11:37:09	ga_s2am_ard_3-2-1_50HPH_2021-08-08_final
2021-08-22 11:16:43	ga_s2am_ard_3-2-1_51HXD_2021-08-22_final
2021-09-04 11:24:03	ga_s2am_ard_3-2-1_51KWQ_2021-09-04_final
2021-11-13 11:24:04	ga_s2am_ard_3-2-1_51KWQ_2021-11-13_final
2021-11-16 11:33:53	ga_s2am_ard_3-2-1_51KXQ_2021-11-16_final
2022-01-02 11:23:08	ga_s2am_ard_3-2-1_52KBC_2022-01-02_final
2022-01-29 11:14:35	ga_s2am_ard_3-2-1_52JCS_2022-01-29_final
2022-02-28 11:13:57	ga_s2am_ard_3-2-1_52KBV_2022-02-28_final
2022-04-27 12:13:59	ga_s2am_ard_3-2-1_50KKA_2022-04-27_final
2022-09-19 11:23:15	ga_s2am_ard_3-2-1_51KZT_2022-09-19_final.stac-item
2022-09-29 11:23:00	ga_s2am_ard_3-2-1_51KZU_2022-09-29_final.stac-item
2022-10-16 11:13:43	ga_s2am_ard_3-2-1_52KBA_2022-10-16_final.stac-item
2022-11-14 11:43:21	ga_s2am_ard_3-2-1_51KTT_2022-11-14_final.stac-item
2022-11-20 12:04:43	ga_s2am_ard_3-2-1_49JHN_2022-11-20_final.stac-item
2022-12-05 11:14:50	ga_s2am_ard_3-2-1_52JCR_2022-12-05_final.stac-item
2022-12-18 11:24:58	ga_s2am_ard_3-2-1_51JWL_2022-12-18_final.stac-item
2023-01-03 11:41:32	ga_s2am_ard_3-2-1_51LUE_2023-01-03_final.stac-item
2023-02-06 11:23:49	ga_s2am_ard_3-2-1_51KZQ_2023-02-06_final.stac-item
2023-02-15 11:52:17	ga_s2am_ard_3-2-1_50KQG_2023-02-15_final.stac-item
2023-02-16 11:23:36	ga_s2am_ard_3-2-1_51KYR_2023-02-16_final.stac-item
2023-06-06 11:25:42	ga_s2am_ard_3-2-1_51JXH_2023-06-06_final.stac-item
2023-09-06 12:04:33	ga_s2am_ard_3-2-1_50KKU_2023-09-06_final.stac-item
2023-09-23 11:57:14	ga_s2am_ard_3-2-1_50HKH_2023-09-23_nrt.stac-item
2023-10-03 11:56:01	ga_s2am_ard_3-2-1_50JKN_2023-10-03_final.stac-item
2023-12-15 12:05:51	ga_s2am_ard_3-2-1_50JKN_2023-12-15_final.stac-item
2024-01-19 11:13:24	ga_s2am_ard_3-2-1_52KDA_2024-01-19_final.stac-item
2024-02-18 11:12:51	ga_s2am_ard_3-2-1_52KCD_2024-02-18_final.stac-item
2024-03-15 11:32:22	ga_s2am_ard_3-2-1_51KYA_2024-03-15_final.stac-item
2024-03-25 11:34:04	ga_s2am_ard_3-2-1_51KUQ_2024-03-25_final.stac-item
2024-05-01 11:22:44	ga_s2am_ard_3-2-1_51KYV_2024-05-01_final.stac-item

Return to ga_s2am_ard_3 whole collection overview

ga_s2am_ard_3: Geoscience Australia Sentinel 2A MSI Analysis Ready Data Collection 3

Baseline satellite data

Inland water

Land and vegetation

Sea, ocean and coast

Hazards

Other products

All years